by Subanu Senthilkumar | May 30, 2025
According to a survey conducted by Gartner, almost 60% of companies fail to track the financial impact of poor data quality each year. This lack of measurement makes it harder for organizations to recognize just how costly unreliable data can be. It also reinforces...
by Subanu Senthilkumar | May 28, 2025
Approximately 85% of businesses believe data quality issues directly impact their bottom line. This widespread concern is driving a surge in smarter ways to cleanse and manage enterprise data across industries. For asset-intensive industries such as manufacturing and...
by Subanu Senthilkumar | May 23, 2025
More than 55% of maintenance resources and activities in an average facility are still reactive, according to industry benchmarks. This over-reliance on reactive maintenance is often rooted in poor asset data and misaligned preventive maintenance strategies. When...
by Subanu Senthilkumar | May 21, 2025
According to Gartner, poor data quality costs organizations an average of $12.9 million annually due to inefficiencies and lost opportunities. In EAM, where accuracy drives maintenance efficiency and planning, these costs are amplified. Inaccurate data undermines...
by Subanu Senthilkumar | May 16, 2025
Research by PwC found that AI could contribute up to $15.7 trillion to the global economy by 2030 through productivity gains and automation. This statistic highlights the urgency for organizations to embed AI-powered workflows deeply into their business models or risk...
